This paper provides evidence on the degree of persistence of one of the key components of the CAPM, namely the market risk premium, as well as its volatility. The analysis applies fractional integration methods to data for the US, Germany and Japan, and for robustness purposes considers...

By combining two large data sets (on international trade flows and cross-border mergers and acquisitions - M&As), we test two implications of Neary’s (2003, 2007) general oligopolistic equilibrium (GOLE) model (incorporating strategic interaction between firms in a general equilibrium...

By combining two large data sets (on international trade flows and on mergers and acquisitions M&As), we are able to test two implications of Neary's (2003, 2004a) recent theoretical work. Analyzing M&As in a General Oligopolistic Equilibrium (GOLE) model incorporating strategic interaction...

We develop a multivariate unobserved components model to extract business cycle and financial cycle indicators from a panel of economic and financial time series of four large developed economies. Our model is flexible and allows for the inclusion of cycle components in different selections of...

We propose a novel multivariate GARCH model that incorporates realized measures for the variance matrix of returns. The key novelty is the joint formulation of a multivariate dynamic model for outer-products of returns, realized variances and realized covariances. The updating of the variance...

This paper discusses identification, specification, estimation and forecasting for a general class of periodic unobserved components time series models with stochastic trend, seasonal and cycle components. Convenient state space formulations are introduced for exact maximum likelihood...

Unobserved components time series models decompose a time series into a trend, a season, a cycle, an irregular disturbance, and possibly other components. These models have been successfully applied to many economic time series. The standard assumption of a linear model, often appropriate after...